OpenCode - terminal AI with screen memory

Integrate screenpipe with OpenCode to give your terminal AI assistant access to your screen history, audio transcriptions, and app context.

OpenCode is a powerful terminal-based AI coding assistant written in Go. it implements the Agent Skills open standard, which means screenpipe skills work out of the box.

setup

OpenCode discovers skills from multiple locations. copy the screenpipe skills to any of these:

option 1: project-level

# copy to current project
mkdir -p .opencode/skills
cp -r /path/to/screenpipe/.claude/agents/* .opencode/skills/

option 2: user-level (global)

# copy to home directory for all projects
mkdir -p ~/.opencode/skills
cp -r /path/to/screenpipe/.claude/agents/* ~/.opencode/skills/

option 3: clone directly

# clone screenpipe and symlink skills
git clone https://github.com/screenpipe/screenpipe ~/screenpipe
ln -s ~/screenpipe/.claude/agents ~/.opencode/skills/screenpipe

OpenCode uses the same Agent Skills format as Claude Code. files in .claude/agents/ work in .opencode/skills/ and vice versa.

available skills

skill	description
screenpipe-query	search accessibility-first screen text, audio transcriptions, and UI events (keyboard input, clicks, app switches, clipboard)
screenpipe-health	check status, diagnose issues, verify permissions
screenpipe-logs	retrieve and analyze screenpipe logs

usage

OpenCode automatically discovers installed skills. invoke them in your prompts:

# start OpenCode
opencode

> @screenpipe-query find what I was reading about docker compose

> @screenpipe-health check if recording is working

> @screenpipe-logs show me errors from today

or let OpenCode choose automatically:

> what was I working on in VS Code this morning?
# OpenCode will invoke screenpipe-query

> is my screen recording working?
# OpenCode will invoke screenpipe-health

MCP alternative

OpenCode also supports MCP servers. if you prefer MCP over skills:

# add to your opencode config
opencode config mcp add screenpipe "npx -y screenpipe-mcp"

skills are more token-efficient than MCP. the OpenCode team recommends skills for most use cases, with MCP for external API integrations.

example workflows

context-aware coding:

> I was looking at a react component earlier that had a cool
> animation effect, use screenpipe to find it and help me
> implement something similar

recall documentation:

> use screenpipe to find that kubernetes docs page I was
> reading about pod scheduling

meeting follow-up:

> what did we discuss in the team call about the database
> migration? use screenpipe to find it

debug from memory:

> there was an error in my terminal earlier, use screenpipe
> to find it and help me fix it

skill format reference

screenpipe skills follow the Agent Skills standard:

---
name: screenpipe-query
description: Query screen recordings and audio transcriptions
tools:
  - Bash
  - WebFetch
---

# Screenpipe Query Agent

Instructions for querying screenpipe data...

you can customize these skills or create your own following the same format.

requirements

• screenpipe running on localhost:3030
• OpenCode installed (go install github.com/opencode-ai/opencode@latest)
• skills copied to .opencode/skills/ or ~/.opencode/skills/

troubleshooting

skills not discovered?

• run opencode skills list to see available skills
• verify files are in correct location with valid yaml frontmatter
• check skill file ends in .md

queries returning no data?

• verify screenpipe is running: curl http://localhost:3030/health
• check data exists: curl "http://localhost:3030/search?limit=1"
• ensure screenpipe has screen recording permissions

OpenCode not using skills?

• mention the skill explicitly: @screenpipe-query find...
• check skill description matches your query intent

still stuck? ask in our discord.